Triple
T33465479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rabbit of Seville |
E857030
|
entity |
| Predicate | composerParodied |
P145334
|
FINISHED |
| Object | Gioachino Rossini |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gioachino Rossini | Statement: [Rabbit of Seville, composerParodied, Gioachino Rossini]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composerParodied Context triple: [Rabbit of Seville, composerParodied, Gioachino Rossini]
-
A.
originalSongwriterParodied
chosen
Indicates that one entity is the songwriter of an original song that is parodied by another entity.
-
B.
parodies
Indicates that one entity imitates another in an exaggerated or humorous way, often to criticize or comment on the original.
-
C.
satirizedBy
Indicates that the subject is the target or object of satire created or performed by the specified entity.
-
D.
meterParodied
Indicates that one metrical pattern or structure is used in a way that humorously imitates or mocks another metrical pattern.
-
E.
parodiesWorkType
Indicates that one work humorously imitates or satirizes another work of a particular type or genre.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: May 1, 2026, 1:37 a.m.